mirror of
https://github.com/clearml/clearml-helm-charts
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Clearml chart readme improvements (#7)
* clearml chart LICENSE * bump up version * improved readme * clearml chart name fix
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@ -2,7 +2,7 @@ apiVersion: v2
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name: clearml
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name: clearml
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description: MLOps platform
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description: MLOps platform
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type: application
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type: application
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version: "2.0.0-alpha1"
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version: "2.0.0-alpha2"
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appVersion: "1.0.2"
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appVersion: "1.0.2"
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home: https://clear.ml
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home: https://clear.ml
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icon: https://raw.githubusercontent.com/allegroai/clearml/master/docs/clearml-logo.svg
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icon: https://raw.githubusercontent.com/allegroai/clearml/master/docs/clearml-logo.svg
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@ -1,6 +1,6 @@
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# clearml
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# ClearML Ecosystem for Kubernetes
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MLOps platform
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MLOps platform
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@ -12,6 +12,58 @@ MLOps platform
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| ---- | ------ | --- |
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| ---- | ------ | --- |
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| valeriano-manassero | | https://github.com/valeriano-manassero |
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| valeriano-manassero | | https://github.com/valeriano-manassero |
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## Introduction
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The **clearml-server** is the backend service infrastructure for [ClearML](https://github.com/allegroai/clearml).
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It allows multiple users to collaborate and manage their experiments.
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By default, *ClearML is set up to work with the ClearML Demo Server, which is open to anyone and resets periodically.
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In order to host your own server, you will need to install **clearml-server** and point ClearML to it.
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**clearml-server** contains the following components:
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* The ClearML Web-App, a single-page UI for experiment management and browsing
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* RESTful API for:
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* Documenting and logging experiment information, statistics and results
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* Querying experiments history, logs and results
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* Locally-hosted file server for storing images and models making them easily accessible using the Web-App
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## Port Mapping
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After **clearml-server** is deployed, the services expose the following node ports:
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* API server on `30008`
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* Web server on `30080`
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* File server on `30081`
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## Accessing ClearML Server
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Access **clearml-server** by creating a load balancer and domain name with records pointing to the load balancer.
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Once you have a load balancer and domain name set up, follow these steps to configure access to clearml-server on your k8s cluster:
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1. Create domain records
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* Create 3 records to be used for Web-App, File server and API access using the following rules:
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* `app.<your domain name>`
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* `files.<your domain name>`
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* `api.<your domain name>`
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(*for example, `app.clearml.mydomainname.com`, `files.clearml.mydomainname.com` and `api.clearml.mydomainname.com`*)
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2. Point the records you created to the load balancer
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3. Configure the load balancer to redirect traffic coming from the records you created:
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* `app.<your domain name>` should be redirected to k8s cluster nodes on port `30080`
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* `files.<your domain name>` should be redirected to k8s cluster nodes on port `30081`
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* `api.<your domain name>` should be redirected to k8s cluster nodes on port `30008`
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## Additional Configuration for ClearML Server
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You can also configure the **clearml-server** for:
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* fixed users (users with credentials)
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* non-responsive experiment watchdog settings
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For detailed instructions, see the [Optional Configuration](https://github.com/allegroai/clearml-server#optional-configuration) section in the **clearml-server** repository README file.
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## Source Code
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## Source Code
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* <https://github.com/allegroai/clearml-helm-charts>
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* <https://github.com/allegroai/clearml-helm-charts>
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@ -184,6 +236,3 @@ MLOps platform
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| webserver.service.port | int | `80` | |
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| webserver.service.port | int | `80` | |
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| webserver.service.type | string | `"NodePort"` | |
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| webserver.service.type | string | `"NodePort"` | |
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| webserver.tolerations | list | `[]` | |
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| webserver.tolerations | list | `[]` | |
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----------------------------------------------
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Autogenerated from chart metadata using [helm-docs v1.5.0](https://github.com/norwoodj/helm-docs/releases/v1.5.0)
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68
charts/clearml/README.md.gotmpl
Normal file
68
charts/clearml/README.md.gotmpl
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@ -0,0 +1,68 @@
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# ClearML Ecosystem for Kubernetes
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{{ template "chart.deprecationWarning" . }}
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{{ template "chart.badgesSection" . }}
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{{ template "chart.description" . }}
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{{ template "chart.homepageLine" . }}
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{{ template "chart.maintainersSection" . }}
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## Introduction
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The **clearml-server** is the backend service infrastructure for [ClearML](https://github.com/allegroai/clearml).
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It allows multiple users to collaborate and manage their experiments.
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By default, *ClearML is set up to work with the ClearML Demo Server, which is open to anyone and resets periodically.
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|
In order to host your own server, you will need to install **clearml-server** and point ClearML to it.
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|
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**clearml-server** contains the following components:
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* The ClearML Web-App, a single-page UI for experiment management and browsing
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* RESTful API for:
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* Documenting and logging experiment information, statistics and results
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* Querying experiments history, logs and results
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* Locally-hosted file server for storing images and models making them easily accessible using the Web-App
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## Port Mapping
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After **clearml-server** is deployed, the services expose the following node ports:
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* API server on `30008`
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* Web server on `30080`
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* File server on `30081`
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## Accessing ClearML Server
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Access **clearml-server** by creating a load balancer and domain name with records pointing to the load balancer.
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Once you have a load balancer and domain name set up, follow these steps to configure access to clearml-server on your k8s cluster:
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1. Create domain records
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* Create 3 records to be used for Web-App, File server and API access using the following rules:
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* `app.<your domain name>`
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* `files.<your domain name>`
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* `api.<your domain name>`
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(*for example, `app.clearml.mydomainname.com`, `files.clearml.mydomainname.com` and `api.clearml.mydomainname.com`*)
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2. Point the records you created to the load balancer
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3. Configure the load balancer to redirect traffic coming from the records you created:
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* `app.<your domain name>` should be redirected to k8s cluster nodes on port `30080`
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* `files.<your domain name>` should be redirected to k8s cluster nodes on port `30081`
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* `api.<your domain name>` should be redirected to k8s cluster nodes on port `30008`
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## Additional Configuration for ClearML Server
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You can also configure the **clearml-server** for:
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* fixed users (users with credentials)
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* non-responsive experiment watchdog settings
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For detailed instructions, see the [Optional Configuration](https://github.com/allegroai/clearml-server#optional-configuration) section in the **clearml-server** repository README file.
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{{ template "chart.sourcesSection" . }}
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{{ template "chart.requirementsSection" . }}
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{{ template "chart.valuesSection" . }}
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